On Tue, Dec 7, 2010 at 2:33 PM, Charles R Harris
<charlesr.harris@gmail.com> wrote:
>>> On Tue, Dec 7, 2010 at 12:25 PM, Xunchen Liu <xunchen.liu@gmail.com> wrote:
>>>> Hello,
>> I don't know if there is option to have weighting in least square fit?
>> attached is the code I use linalg.lstsq to fit 4 parameters out of 6
>> measurement.
>> Also, how can I read the uncertainty of each parameters fitted?
>> There is no option for weights at the moment, nor for the covariance of the
> fitted parameters. We should fix that up someday, but at the moment you need
> to write your own implementation.
In writing your own implementation, you could use optimize curve_fit
as a pattern for the weight handling.
Or you just use scikits.statsmodels.WLS
http://pypi.python.org/pypi/scikits.statsmodels
Josef
>> Chuck
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